After SR 26-2, Agentic AI Governance Has to Be Load-Bearing

The guidance that pulled agentic AI out of model risk didn't say who inside the bank now owns the cost of governing it, and that silence is where the exposure collects. SR 26-2 carved generative and agentic AI out of model risk and declined to speci…

In April, the framework that has governed bank model risk for fifteen years was rewritten, and the fastest-moving AI in the institution was deliberately left outside it. SR 26-2 rewrote bank model-risk guidance in April and deliberately placed gener…

Capital requests for AI agent governance are arriving on CFO desks one platform at a time, each defensible in isolation, and the gap between them is where the financial exposure lives. The reason these requests are arriving now is that the market ju…

Before any agent can act on a financial record, something or someone has to turn that record into trustworthy structured data. That handoff is where many institutions are quietly failing today. The pattern is familiar to anyone who has worked inside…

Your next agentic AI deployment is likely to struggle under examination for reasons your model risk framework wasn't built to catch. Industry analysts including Gartner and McKinsey continue to report that the majority of enterprise AI projects fail…

A new paper on LLMOps for fraud and anti-money-laundering workloads reframes compliance inference as a serving problem. Prompts are prefix-heavy. Outputs are short and schema-constrained. Most production stacks are tuned for the wrong workload — gen…

A subsidiary lost a material share of its annual turnover for eight straight years to a fraud scheme that never tripped a single control, because the controls were watching the wrong things. The Fintech Times this month walked through the mechanics…

A new paper on LLMOps for fraud and anti-money-laundering workloads reframes compliance inference as a serving problem. Prompts are prefix-heavy. Outputs are short and schema-constrained. Most production stacks are tuned for the wrong workload — gen…

Courts are starting to signal what risk officers already suspect: when an AI system causes harm, the bank that deployed it owns the liability, not the vendor that built it. A recent CIO feature on AI accountability lays out a dynamic that should lan…

Treasury's stablecoin rule turns a compliance question into a capital question, and the meter is already running. What CFOs and compliance leaders need to know: The clock is twelve months from rule finalization, with comments closing June 9 — short…

Treasury's proposed AML and sanctions rule for stablecoin issuers reads like a compliance document. Read it again as an architect, and it's a system design specification — one that quietly moves the hardest decisions from the legal team to the platf…

The leading institutions know this. Major banks have graph initiatives, entity resolution programs, and ML-based transaction monitoring in production or advanced pilot. The question at the top of the market isn't whether to move beyond rules — it's…